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Adapting the generator/discriminator paradigm from GANs to refine LLM prompts. Is an excellent prompt with GPT-3.5 better than an average prompt with GPT-4o?
borrow generator/discriminator paradigm from GANs to refine prompts used in LLMs
investigations
iteratively refine prompts
get model to derive what prompt generated the output
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Adapting the generator/discriminator paradigm from GANs to refine LLM prompts. Is an excellent prompt with GPT-3.5 better than an average prompt with GPT-4o?